The marketplace for AI tools, prompts, skills & agents.

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities.

Relentless interviewing skill that stress-tests plans and designs through systematic questioning.

Relentless design interrogation that stress-tests plans against your domain model and sharpens terminology inline.

Analyze codebases for architectural friction and propose module-deepening refactors as testability improvements.

Fast, persistent browser automation with session continuity across sequential agent commands.

Test-driven development with vertical slices, behavior-focused tests, and incremental red-green-refactor cycles.

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

Configuration scaffold for engineering skills to locate issue tracker, triage labels, and domain documentation.

Summarize conversations into handoff documents for seamless agent-to-agent transitions.

State machine-driven issue triage with role-based workflow management and agent brief generation.

Throwaway code that answers a single design or logic question through an interactive prototype.

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

CLI toolkit for scaffolding, validating, previewing, and rendering HyperFrames video compositions.

React and Next.js performance optimization across 70 rules prioritized by impact.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

HTML-based video composition with animations, captions, audio-reactive visuals, and scene transitions.

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.

Teach the user a new skill or concept, within this workspace.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

Install and wire reusable blocks and components into HyperFrames compositions via the registry.

Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Ask which skill or flow fits your situation. A router over the skills in this repo.

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md plan formats. Read before writing composition HTML.

Implement a piece of work based on a spec or set of tickets.

All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.

End-to-end deployment, evaluation, and management of AI agents on Microsoft Foundry.

Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health.

Prepare Azure applications for deployment with infrastructure-as-code, configuration, and containerization.

Unified access to Azure AI services: Search, Speech, OpenAI, and Document Intelligence.

Execute Azure deployments for prepared applications with built-in error recovery and validation.

Pre-deployment validation for Azure readiness with configuration, infrastructure, RBAC, and identity checks.

Unified access to Azure blob storage, file shares, queues, tables, and data lake services.

Microsoft Entra ID app registration, OAuth 2.0 configuration, and MSAL integration for secure application authentication.

azure compliance

Guidance and reference material for instrumenting webapps with Azure Application Insights.

Fast discovery and inventory of Azure resources across subscriptions using Resource Graph queries.

Transform Azure resource groups into detailed architecture diagrams showing resource relationships and configurations.

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies.

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights.

Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

Diagnose and resolve Azure Event Hubs and Service Bus SDK issues with structured troubleshooting workflows.

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.

Best practices for Remotion - Video creation in React

Domain-specific knowledge base for building videos with Remotion and React.

Anti-slop frontend skill that infers a design direction from the brief and ships interfaces that don't look templated.

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget.

Ultra-compressed communication mode cutting token usage ~75% while preserving technical accuracy.

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services.

Use when a HyperFrames composition needs a punch-in, punch-out, zoom, reframe, Ken Burns treatment, camera move, visual match/whip handoff, or other seek-safe 2D/3D keyframes; also for GSAP, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.

Check and manage Azure quotas and usage across regions for deployment planning and capacity validation.

Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs.

Quick reference for ADK Python patterns: agents, tools, callbacks, and state management.

Deploy ADK agents to Agent Runtime, Cloud Run, or GKE with managed infrastructure and CI/CD pipelines.

Complete workflow for scaffolding, building, evaluating, and deploying agents using Google's Agent Development Kit.

Evaluate ADK agents with metrics, evalsets, and the iterative eval-fix loop.

Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.

google agents cli publish

Set up tracing, logging, and monitoring for deployed ADK agents across Cloud Trace, BigQuery, and third-party platforms.

Create, read, edit, and manage Lark documents with content extraction, summarization, and formatting support.

Comprehensive Lark Base operations via CLI with table, field, record, view, formula, lookup, workflow, dashboard, and form management.

Lark CLI configuration, authentication, and operational guidelines for agent workflows.

Send and receive messages, manage group chats, and handle files in Lark IM.

Manage files, folders, and documents in Lark Drive with upload, download, import, comments, and permissions.

Create, manage, and manipulate Lark spreadsheets with full cell and sheet control.

Manage Lark Wiki spaces, members, nodes, and document organization hierarchies.

Query, edit, and export Lark whiteboards with support for multiple formats and diagram types.

Complete task lifecycle management for Feishu, including creation, assignment, tracking, and agent integration.

飞书日历与日程的全面管理，支持查看、创建、编辑日程及会议室预定。

Enterprise Azure infrastructure architect generating Bicep or Terraform from workload descriptions.

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

Compose, send, reply to, forward, and manage Lark emails with drafts, folders, labels, and rules.

Search, download, and manage Lark Minutes recordings with transcript and metadata extraction.

Search, retrieve, and analyze Feishu video meeting records, notes, and participant snapshots.

Stream Lark/Feishu events as NDJSON with bounded runs and subprocess-safe exit contracts.

Lark directory lookup to convert employee names and emails to open_ids, and reverse-lookup employee details by ID.

Aggregate meeting notes within a time range and generate structured reports.

Daily schedule and task summary combining calendar events and pending to-dos for a specified date.

Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.

Discover and call native Lark OpenAPI endpoints from official documentation when existing skills fall short.

Create reusable Lark API Skills by wrapping atomic operations or orchestrating multi-step workflows.

Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.

Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.

Plan and configure production-ready Azure Kubernetes Service clusters with Day-0 and Day-1 best practices.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

git guardrails claude code

Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated motion-first unit, including an animated title. Route fresh creation through hyperframes before using this skill.

Lark approval instance and task management via CLI commands.

setup pre commit

writing beats

writing shape

writing fragments

scaffold exercises

Query historical Azure costs, forecast future spending, and identify optimization opportunities across subscriptions and resource groups.